From Deep Reinforcement Learning to LLM-based Agents: Perspectives on Current Research

Stefano Albrecht has recently returned from a two-week China trip where he gave many talks at top universities and tech companies. One of the highlights was a talk at the BAAI 2024 conference (Beijing Academy of Artificial Intelligence) in Beijing, which is widely regarded as the most important AI conference in China and has had many big speakers.

The journey to safe autonomous driving: from interpretable design to rigorous verification and validation

Date: 
Thu, 20/06/2024 - 14:00 to 15:30
Location: 
Heriot-Watt University, Room: EM 2.33
Speaker: 
Dr. Cheng Wang
Heriot-Watt University (Institute: ISSS)

Synopsis: Safety-critical systems such as autonomous driving need to operate safely in their real-world deployment. With the implementation of AI in these systems, new safety assurance paradigms are critical to mitigate the risks posed by AI as traditional rules-based controls are replaced by data-driven ones. In the talk, I will present an overview of existing methods for AI safety. Subsequently, I will introduce my contributions to this field by elaborating on the design of interpretable AI algorithms, explainable AI methods, and rigorous testing methodology.

Children's Voices in AI & Robotics: Forging an Inclusive Future

Date: 
Thu, 06/06/2024 - 12:00 to 14:00
Location: 
The National Robotarium, Third Gait Edinburgh EH14 4AS
Speaker: 
Camilla Irvine-Fortescue &
Heriot-Watt University

Join us to hear from the Children’s Parliament, where they’ll be sharing outcomes from their participatory engagement project with school children.

Since August 2022, the Children’s Parliament has been exploring the intersections of children’s human rights and AI development, use, and regulation in Scotland. We believe this was the first time children have been consulted on AI development nationally in Scotland.

Ethical Issues in Technology and Ageing

Date: 
Thu, 27/06/2024 - 14:00 to 15:00
Location: 
In-person: Earl Mountbatten Building (EM244) and Online (see bellow)
Speaker: 
Professor Andrew Sixsmith
Simon Fraser University, Vancouver

AgeTech is about using technologies, such as e-health, robotics, artificial intelligence, and mobile devices to support the health and independence of older people. While AgeTech has many benefits, it also brings ethical challenges and could be seen as a double-edged sword. Technology could lead to efficient and cost-effective services, but it can also be disruptive to people’s lives. In-home health monitoring systems raise concerns about privacy. Unequal access and use of technology—the digital divide—may increasingly impact on a person’s health.

It's written all over your face!": Aiding Facial Emotion Recognition Accuracy

Date: 
Thu, 06/06/2024 - 13:00
Location: 
Informatics Forum, G.03
Speaker: 
Jack Tsangou
The University of Edinburgh

This research presents an in-depth exploration of accurate and robust facial emotion recognition technology, with a focus on achieving effective performance across a diverse range of individuals in real-world settings. It addresses the challenges associated with the nature of training data and its ability to capture variations among subjects. This involves a critical examination of current affective datasets and their alignment with real-world scenarios, as well as considering the question, "Do all people express themselves in the same way?".

CDT RAS Conference

Date: 
Wed, 28/02/2024 - 00:00 to 23:45
Location: 
Southall, Pollock Buildings, Edinburgh University
Speaker: 
TBC

We are delighted to announce that we will once again be hosting the Annual CDT Conference on Wednesday, 28 February 2024. The conference will be held at Southall which is located in the Pollock Estate.

Final version of textboook published

Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer have released the final version of their textbook ‘Multi-Agent Reinforcement Learning: Foundations and Modern Approaches’ which now can be downloaded for free from the website: https://www.marl-book.com

Lecture slides for the book will be released in the first quarter of 2024 and a printed version, published by MIT Press, is scheduled for later in the year.

Welcome Week

Date: 
Mon, 11/09/2023 - 10:00
Location: 
To be confirmed
Speaker: 
To be confirmed

Induction week for incoming Robotics and Autonomous Systems students.  More details to follow.

New Textbook "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches"

A new textbook to be published by MIT Press, PDF pre-print available now

A new textbook titled "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches" written by IPAB members Stefano V. Albrecht, Filippos Christianos, and Lukas Schäfer, to be published by MIT Press.

The PDF pre-print version of the book was released at the start of the AAMAS 2023 and ICRA 2023 conferences. The PDF can be downloaded from the book website at www.marl-book.com.